Files
dish-image-toolkit/crawler/scrape_bing.py
T
陈世睿 917613c5ce 初始化 dish-image-toolkit:菜品图爬虫 + 图片名称检索平台
- crawler/:豆果(主)/下厨房/Bing 爬虫 + dishes.jsonl(3056 菜→9167 图映射)+ verify_repair 按 URL 重下
- retrieval/:三路检索(BM25 + 本地 BGE-M3 向量 + RRF 融合),FastAPI + 前端;
  写死图片目录(默认 crawler/images,可 IMAGE_DIR 覆盖)、绑 0.0.0.0 局域网访问、
  启动自动建索引、服务器 serve 图片
- 图片(1.7G)与向量模型(2.3G)不进 git

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-01 10:27:51 +08:00

296 lines
11 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Bing 图片菜品爬虫(每菜多图版,下厨房限速后切换的备用源)。
每道菜去 Bing 图片搜索,取**前 N 张**结果,下载 Bing CDN 缩略图(turl,ts*.mm.bing.net
极耐爬/统一可靠;原图 murl 也一并记录备用),每菜一行 JSON 到 jsonl,images:[...] 记录
该菜对应的所有图。与 scrape_xiachufang.py 共用 dishes.jsonl + images/:
- 续抓只跳过 found:true 的菜(失败的会重试)→ 自动只补下厨房没爬到的 ~2082 道
- 同样的并行 + 全局自适应限速闸(任一线程被限速→全员冷却,根治退避雪崩)
用法:
python scrape_bing.py --out dishes.jsonl --download --per-dish 3 --workers 8 --input todo.txt
"""
from __future__ import annotations
import argparse
import html
import json
import os
import random
import re
import sys
import threading
import time
import urllib.parse
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime, timezone
import requests
for _s in (sys.stdout, sys.stderr):
try:
_s.reconfigure(encoding="utf-8", errors="replace")
except Exception:
pass
SEARCH_URL = "https://cn.bing.com/images/search"
UA_POOL = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:126.0) Gecko/20100101 Firefox/126.0",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Edg/123.0.0.0",
]
ACCEPT_LANGS = ["zh-CN,zh;q=0.9,en;q=0.8", "zh-CN,zh;q=0.9", "zh-CN,zh;q=0.8,en-US;q=0.5"]
def build_headers() -> dict:
return {
"User-Agent": random.choice(UA_POOL),
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": random.choice(ACCEPT_LANGS),
"Referer": "https://cn.bing.com/images/",
}
_tls = threading.local()
def session() -> requests.Session:
s = getattr(_tls, "s", None)
if s is None:
s = _tls.s = requests.Session()
return s
# ---------- 全局限速治理(同 scrape_xiachufang:节流 + 全员冷却闸,根治雪崩) ----------
_pace_lock = threading.Lock()
_next_search = 0.0
_resume_at = 0.0
_penalty = 0
SEARCH_SPACING = 0.5 # Bing 耐爬,默认间隔小;可被 --spacing 覆盖
def search_pace() -> None:
global _next_search
with _pace_lock:
now = time.time()
slot = max(now, _next_search)
_next_search = slot + SEARCH_SPACING + random.uniform(0, 0.3)
wait = slot - now
if wait > 0:
time.sleep(wait)
def gate_wait() -> None:
while True:
with _pace_lock:
wait = _resume_at - time.time()
if wait <= 0:
return
time.sleep(min(wait, 3) + random.uniform(0, 0.4))
def trip_limit() -> None:
global _resume_at, _penalty
with _pace_lock:
_penalty += 1
cool = min(45 * (1.5 ** (_penalty - 1)), 600)
nr = time.time() + cool
if nr > _resume_at:
_resume_at = nr
print(f" [!] 限速#{_penalty} 全局冷却 {cool:.0f}s", file=sys.stderr, flush=True)
def ease_limit() -> None:
global _penalty
if _penalty:
with _pace_lock:
_penalty = max(0, _penalty - 1)
def fetch_search(dish: str, proxy: str | None, retries: int = 5, timeout: int = 25) -> str | None:
proxies = {"http": proxy, "https": proxy} if proxy else None
params = {"q": dish, "first": 1, "count": 35}
url = SEARCH_URL + "?" + urllib.parse.urlencode(params)
for attempt in range(retries):
gate_wait()
search_pace()
try:
r = session().get(url, headers=build_headers(), proxies=proxies, timeout=timeout)
if r.status_code == 200:
ease_limit()
return r.text
if r.status_code in (403, 429, 503):
trip_limit()
else:
print(f" [!] 状态 {r.status_code}", file=sys.stderr)
time.sleep(3 * (attempt + 1))
except requests.RequestException as e:
print(f" [!] 请求异常 {e}", file=sys.stderr)
time.sleep(5 + random.uniform(0, 5))
return None
def parse_images(html_text: str, n: int) -> list[dict]:
"""从 Bing 结果页抽前 n 张图的 {image_url(=turl), murl, turl, title, host_page}。"""
out: list[dict] = []
seen: set[str] = set()
for m in re.finditer(r'class="iusc"[^>]+?\sm="([^"]+)"', html_text):
try:
d = json.loads(html.unescape(m.group(1)))
except Exception:
continue
url = d.get("turl") or d.get("murl")
if not url or url in seen:
continue
seen.add(url)
out.append({
"image_url": url,
"murl": d.get("murl"),
"turl": d.get("turl"),
"title": (d.get("t") or "").strip() or None,
"host_page": d.get("purl"),
})
if len(out) >= n:
break
return out
def is_image(b: bytes) -> bool:
return (b[:3] == b"\xff\xd8\xff" or b[:8] == b"\x89PNG\r\n\x1a\n"
or b[:6] in (b"GIF87a", b"GIF89a")
or (b[:4] == b"RIFF" and b[8:12] == b"WEBP") or b[:2] == b"BM")
def safe_name(dish: str) -> str:
return re.sub(r"[^\w一-鿿]+", "_", dish).strip("_") or "dish"
def download(url: str, dish: str, idx: int, img_dir: str,
proxy: str | None) -> tuple[str | None, int]:
proxies = {"http": proxy, "https": proxy} if proxy else None
headers = {"User-Agent": random.choice(UA_POOL), "Referer": "https://cn.bing.com/",
"Accept": "image/avif,image/webp,image/png,image/*;q=0.8,*/*;q=0.5"}
try:
r = session().get(url, headers=headers, proxies=proxies, timeout=20)
if r.status_code == 200 and len(r.content) >= 800 and is_image(r.content):
path = os.path.join(img_dir, f"{safe_name(dish)}_{idx:02d}.jpg")
with open(path, "wb") as f:
f.write(r.content)
rel = os.path.relpath(path, os.path.dirname(img_dir) or ".").replace(os.sep, "/")
return rel, len(r.content)
except requests.RequestException as e:
print(f" [!] 下图失败 {e}", file=sys.stderr)
return None, 0
def scrape_one(dish: str, proxy: str | None, do_download: bool, img_dir: str,
per_dish: int, jitter: float = 0.0) -> dict:
if jitter:
time.sleep(random.uniform(0, jitter))
now = datetime.now(timezone.utc).isoformat(timespec="seconds")
base = {"dish": dish, "source": "bing", "fetched_at": now}
html_text = fetch_search(dish, proxy)
if html_text is None:
return {**base, "found": False, "count": 0, "images": [], "reason": "fetch_failed"}
recs = parse_images(html_text, per_dish)
if not recs:
return {**base, "found": False, "count": 0, "images": [], "reason": "no_result"}
images = []
for i, rec in enumerate(recs, 1):
e = dict(rec)
if do_download:
rel, size = download(rec["image_url"], dish, i, img_dir, proxy)
e["image_file"] = rel
e["bytes"] = size
if i < len(recs):
time.sleep(random.uniform(0.05, 0.2))
images.append(e)
saved = sum(1 for e in images if not do_download or e.get("image_file"))
if do_download and saved == 0:
return {**base, "found": False, "count": 0, "images": images, "reason": "download_failed"}
return {**base, "found": True, "count": saved, "images": images}
def load_done(out_path: str) -> set[str]:
done = set()
if os.path.exists(out_path):
with open(out_path, encoding="utf-8") as f:
for line in f:
try:
rec = json.loads(line)
if rec.get("found"): # 只跳过成功的;失败行会重试
done.add(rec["dish"])
except Exception:
pass
return done
def main():
global SEARCH_SPACING
ap = argparse.ArgumentParser()
ap.add_argument("dishes", nargs="*")
ap.add_argument("--input", help="菜名文件,一行一道")
ap.add_argument("--out", default="dishes.jsonl")
ap.add_argument("--download", action="store_true")
ap.add_argument("--img-dir", default="images")
ap.add_argument("--per-dish", type=int, default=3)
ap.add_argument("--proxy", default=os.environ.get("CRAWL_PROXY"))
ap.add_argument("--workers", type=int, default=8)
ap.add_argument("--jitter", type=float, default=1.0)
ap.add_argument("--spacing", type=float, default=SEARCH_SPACING)
args = ap.parse_args()
SEARCH_SPACING = args.spacing
dishes = list(args.dishes)
if args.input:
with open(args.input, encoding="utf-8") as f:
dishes += [ln.strip() for ln in f if ln.strip()]
if not dishes:
ap.error("没给菜名")
dishes = list(dict.fromkeys(dishes))
os.makedirs(args.img_dir, exist_ok=True)
done = load_done(args.out)
todo = [d for d in dishes if d not in done]
print(f"{len(dishes)} 道,已完成 {len(done)},本次待抓 {len(todo)},并行 {args.workers} 线程,源 Bing",
flush=True)
if not todo:
print("没有待抓的菜。")
return
ok = miss = 0
t0 = time.time()
lock = threading.Lock()
with open(args.out, "a", encoding="utf-8") as fout, \
ThreadPoolExecutor(max_workers=args.workers) as ex:
futs = {ex.submit(scrape_one, d, args.proxy, args.download,
args.img_dir, args.per_dish, args.jitter): d for d in todo}
for i, fut in enumerate(as_completed(futs), 1):
dish = futs[fut]
try:
rec = fut.result()
except Exception as e:
now = datetime.now(timezone.utc).isoformat(timespec="seconds")
rec = {"dish": dish, "source": "bing", "found": False, "count": 0,
"images": [], "reason": f"error:{type(e).__name__}", "fetched_at": now}
with lock:
fout.write(json.dumps(rec, ensure_ascii=False) + "\n")
fout.flush()
if rec["found"]:
ok += 1
else:
miss += 1
if i % 25 == 0 or i == len(todo):
rate = i / max(time.time() - t0, 1e-6)
eta = (len(todo) - i) / rate if rate else 0
print(f"[{i}/{len(todo)}] ✓{ok}{miss} {rate*60:.0f}道/分 ETA {eta/60:.0f}",
flush=True)
print(f"\n完成:成功 {ok} 缺图 {miss}{args.out}", flush=True)
if __name__ == "__main__":
main()